Principal AI Engineer

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. About the Role The AI revolution is here, and enterprises are racing to adopt GenAI - but they cannot deploy what they cannot secure. Zscaler is seeking an experienced Principal AI Security Specialist to bridge the gap between cutting-edge AI innovation and robust enterprise security. In this highly strategic, field-facing role, you will combine the elite consultative strengths of a Solutions Engineer with deep expertise in LLMs, RAG architectures, and data protection. As our premier technical authority, you will partner with Fortune 500 executives and architects, serving as a trusted advisor to help them confidently unlock the power of AI without compromising their data or infrastructure. If you are a builder, an educator, and a master storyteller who thrives in a fast-evolving market, this is your chance to lead the industry's most critical conversation. What You’ll Do Architect the AI Technical Strategy: Partner wi

Role purpose The Head of AI and Technology is accountable for the direction, delivery and adoption of AI across Teneo Management Consulting and for ensuring that its broader technology environment supports the needs of the business. The role sets the AI strategy and investment priorities, leads the AI Engineering team, owns the strategy and priorities for Management Consulting-specific technology, software, data, knowledge-management workflows and subscriptions, and acts as the principal Management Consulting stakeholder for Teneo IT on centrally managed technology, data platforms and services. The role connects Management Consulting's priorities with Teneo's central AI team, Teneo IT and other control and enabling functions. It translates business needs into Management Consulting-owned AI and technology initiatives or clear requirements for central teams, moves high-value AI and software solutions from experimentation into reliable use, and gives consultants the skills and support required to use approved AI tools effectively. It is primarily an internal capability role. The role is accountable for the allocation and utilisation of the AI Engineering team, including support for selected client engagements, and for the Management Consulting-specific AI and broader technology within its remit. Teneo IT and Teneo's central AI team remain accountable for the centrally managed services and capabilities, while Management Consulting engagement leaders retain accountability for client relationships, overall engagement delivery and revenue targets. Key responsibilities AI strategy and priorities Own the Management Consulting AI strategy, roadmap and priorities, aligned with the business strategy and Teneo-wide AI direction. Consult Teneo's central AI team on new solutions to reuse firm-wide capabilities, avoid duplication and manage enterprise dependencies. Identify and assess AI opportunities across consulting delivery, business development, proposition development, intern

ROLE SUMMARY Staff Platform Engineer is an individual contributor role reporting to the Principal Platform Engineer. This role delivers infrastructure and delivery outcomes across AI & Agentic AI Platform hosting platforms. You implement the technical vision for foundational platform services that enable multi-cloud hosting and operations, as well as AI-driven workflows. You build scalable, secure, and compliant infrastructure while partnering with cross-functional teams to accelerate innovation and operational excellence. Success requires deep technical expertise, practical judgment, and the ability to collaborate and influence. You standardize infrastructure patterns, automate deployments, and integrate capabilities such as GPU enablement, autoscaling, and GitOps practices, so platforms stay reliable, compliant, and high performing at scale. ROLE RESPONSIBILITIES Platform Engineering and Automation Build reusable modules and templates for environment provisioning in AWS and Azure. Operate CI/CD pipelines that standardize build, test, and deploy flows with auditable delivery. Automate onboarding and environment setup to minimize manual effort for application teams. Deliver runbooks, incident response guides, and self-healing automation for critical services. Contribute to platform architecture for shared hosting and delivery pipelines across multiple clouds. Design and implement multi-cloud infrastructure patterns using Infrastructure as Code and GitOps. Drive Kubernetes orchestration, autoscaling, and workload isolation for web, worker, and data services. Help refine standards for observability, security, and compliance aligned to regulated environments. Operational Excellence Run multi-environment Kubernetes clusters with hardened ingress, registry access, and role-